{"id":"W2941151288","doi":"10.22230/ijepl.2019v15n4a468","title":"Developing Effective Advocates during Doctoral Preparation: An Examination of Federal-Level Special Education Policy Internships","year":2019,"lang":"en","type":"article","venue":"International Journal of Education Policy and Leadership","topic":"Service-Learning and Community Engagement","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Internship; Mentorship; Political science; Politics; Medical education; Pedagogy; Public relations; Sociology; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001154229,0.000117339,0.0001609614,0.0007500226,0.0002407529,0.0002111457,0.0004353984,0.00008866213,0.0001124251],"category_scores_gemma":[0.0008683766,0.0001238118,0.00006393574,0.0002968134,0.00008288549,0.0009812173,0.00004098249,0.000279871,0.0000111931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007234983,"about_ca_system_score_gemma":0.002623082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002414886,"about_ca_topic_score_gemma":0.0005497939,"domain_scores_codex":[0.9979907,0.0007896799,0.0004163521,0.0001348205,0.0004984359,0.0001700466],"domain_scores_gemma":[0.9978276,0.0002893314,0.0005667855,0.0001150338,0.001089222,0.0001120031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004294993,0.0009070418,0.03861177,0.0001959259,0.0002375113,8.879948e-7,0.3892548,0.0001326309,0.001640186,0.3019778,0.0003516476,0.2662603],"study_design_scores_gemma":[0.0008102235,0.0002872459,0.7118313,0.0006938721,0.00002483625,0.00003944363,0.2594073,0.00001974846,0.003127957,0.00567724,0.01780092,0.0002798677],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758076,0.0001316899,0.00009208878,0.01024681,0.001611528,0.0002127925,0.000001955764,0.00001269565,0.01188283],"genre_scores_gemma":[0.9895079,0.00007707388,0.000461307,0.0006739464,0.00676633,0.00001089207,0.00001726037,0.0000105529,0.002474718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6732196,"threshold_uncertainty_score":0.5048897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1692162655002442,"score_gpt":0.4190010014149519,"score_spread":0.2497847359147077,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}